Global Trends in the Machine Tool Industry

被引：0
作者：
Kutin A.A. [1 ]
Kliuev M.B. [1 ]
Asaev A.S. [2 ]
Averin N.V. [2 ]
Kravchenko N.Y. [1 ]
机构：
[1] Stankin Moscow State University of Technology, Moscow
[2] Yesenin Ryazan State University, Ryazan
来源：
Russian Engineering Research | 2023年 / 43卷 / 09期
基金：
俄罗斯科学基金会;
关键词：
cyberphysical system; digital twin; Industry; 4.0; machine tools; mechanical engineering; metalworking;
D O I：
10.3103/S1068798X23090149
中图分类号：
学科分类号：
摘要：
Abstract: The possibility of introducing cyberphysical principles in metalworking methods is considered; general trends are discussed. By combining Big Data, artificial intelligence, computer vision, machine learning, the Internet of Things, neural technology, and blockchain into a cyberphysical system, more efficient interaction of humans and industrial equipment is potentially possible, with improvement in operational safety and labor productivity. © 2023, Allerton Press, Inc.
引用
收藏
页码：1112 / 1118
页数：6
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